But what *is* a Neural Network? | Deep learning, chapter 1
🛈⏬Subscribe to stay notified about new videos: http://3b1b.co/subscribe Support more videos like this on Patreon: https://www.patreon.com/3blue1brown Or don't. It's your call really, no pressure. Special thanks to these supporters: http://3b1b.co/nn1-thanks Additional funding provided by Amplify Partners. For any early-stage ML entrepreneurs, Amplify would love to hear from you: 3blue1brown@amplifypartners.com Full playlist: http://3b1b.co/neural-networks Typo correction: At 14:45, the last index on the bias vector is n, when it's supposed to in fact be a k. Thanks for the sharp eyes that caught that! For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning: https://goo.gl/Zmczdy There are two neat things about this book. First, it's available for free, so consider joining me in making a donation Nielsen's way if you get something out of it. And second, it's centered around walking through some code and data which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning! https://github.com/mnielsen/neural-networks-and-deep-learning I also highly recommend Chris Olah's blog: http://colah.github.io/ For more videos, Welch Labs also has some great series on machine learning: https://youtu.be/i8D90DkCLhI https://youtu.be/bxe2T-V8XRs For those of you looking to go *even* deeper, check out the text Deep Learning by Goodfellow, Bengio, and Courville. Also, the publication Distill is just utterly beautiful: https://distill.pub/ Lion photo by Kevin Pluck If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then add subtitles/cc . I really appreciate those who do this, as it helps make the lessons accessible to more people. Music by Vincent Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1BrownSo why do colliding blocks compute pi?
🛈⏬Solution to the block collision puzzle from last video. Special thanks to these viewers: http://3b1b.co/clacks-thanks Channel support comes from viewers, primarily via https://www.patreon.com/3blue1brown Many of you shared solutions, attempts, and simulations with me this last week. I loved it! Y'all are the best. Here are just two of my favorites. By a channel STEM cell: https://youtu.be/ils7GZqp_iE By Doga Kurkcuoglu: http://bilimneguzellan.net/bouncing-cubes-and-%CF%80-3blue1brown/ NY Times blog post about this problem: https://wordplay.blogs.nytimes.com/2014/03/10/pi/ The original paper by Gregory Galperin: https://www.maths.tcd.ie/~lebed/Galperin.%20Playing%20pool%20with%20pi.pdf I'm not sure if there is an original source fo the solution presented here since it's not the one from the Galperin paper. I found it independently, but certainly not first. I think it's the most natural approach one might take given the problem statement, as corroborated by the fact that one like this is referenced in the NYT wordplay blog linked above, as well as the fact that many solutions people sent my way in this last week had this flavor. If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then add subtitles/cc . I really appreciate those who do this, as it helps make the lessons accessible to more people. Music by Vincent Rubinetti. Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe: http://3b1b.co/subscribe Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3blue1brown Reddit: https://www.reddit.com/r/3blue1brown Instagram: https://www.instagram.com/3blue1brown_animations/ Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brownWhat AI have MIT been creating? - BBC Click
🛈⏬Click heads to MIT's CSAIL to check out its weird and wonderful robotic research, and visits Wimbledon to see how AI is set to transform the tennis tournament. Subscribe HERE http://bit.ly/1uNQEWR Find us online at www.bbc.com/click Twitter: @bbcclick Facebook: www.facebook.com/BBCClickAnna Rudolf Accused of Cheating with an Engine Hidden in her Lip Balm!
🛈⏬Follow me on Instagram for extra content: https://www.instagram.com/agadmator/ Check out the interview with Anna here http://interviews.chessdom.com/anna-rudolf Interview with Christian Bauer here http://interviews.chessdom.com/christian-bauer Report by Marie Boyarchenko here http://reports.chessdom.com/vandoeuvre-open NY Times article here https://www.nytimes.com/2008/01/13/crosswords/chess/13chess.html Christian Bauer vs Anna Rudolf Vandoeuvre Open (2008) Polish Opening: Bugayev Atttack (A00) 1. b4 e5 2. a3 d5 3. Bb2 Nd7 4. e3 Bd6 5. c4 dxc4 6. Bxc4 Ngf6 7. Nf3 O-O 8. Qc2 b6 9. d3 Bb7 10. Nbd2 a6 11. O-O b5 12. Bb3 Rc8 13. d4 exd4 14. exd4 Bd5 15. Bxd5 Nxd5 16. Ne4 N7b6 17. Rad1 c6 18. Nc5 Ra8 19. Rfe1 Qc7 20. g3 h6 21. Nh4 Rfd8 22. Bc1 Bf8 23. Nf5 a5 24. bxa5 Rxa5 25. Qe2 Raa8 26. Qg4 Kh8 27. Qh4 Re8 28. Kg2 Qd8 29. Rxe8 Qxe8 30. Qg4 Nf6 31. Qf3 Nbd5 32. g4 Bxc5 33. dxc5 Qe4 34. h3 Kg8 35. Qxe4 Nxe4 36. Bb2 f6 37. Nd4 Nxc5 38. Nxc6 Nf4+ 39. Kf3 Nfd3 40. Bd4 Rxa3 41. Be3 b4 42. Rb1 b3 43. Nb4 b2 44. Nc2 Rc3 45. Nd4 Kf7 46. Ke2 Na4 47. Kd1 Rc4 48. Ne2 Ke6 49. Kd2 Nb4 50. Kd1 Kd5 51. f3 Na2 52. Bd2 Rc7 53. h4 Kc4 54. Kc2 Nb4+ 55. Kd1 Kb3 56. Nc1+ Rxc1+ 57. Rxc1 bxc1=Q+ 58. Kxc1 Nc3 59. Be3 Ncd5 60. Bd2 Kc4 61. g5 hxg5 62. hxg5 f5 63. Kd1 Kd3 64. Bc1 Nc2 65. Bb2 g6 ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- If you realllly enjoy my content, you're welcome to support me and my channel with a small donation via PayPal, Bitcoin, Litecoin or Nano. Link to PayPal donation https://www.paypal.me/agadmator Bitcoin address 12VEbMQPyLzBoZzw9yuNofph4C9Ansc4iZ Litecoin address LbSuZuBffDCNmr5CSZbY7W2zM83w4ZvnC7 Nano address xrb_383y7ofu5wsyfr9o8rh93aqaq8aixpdcbaud5iubydukz5moiadsirmuzgoq Check out some of the books I enjoy https://www.amazon.com/ideas/amzn1.account.AFWWCIBWCL5PGEPL73FDWK632F7Q/2QAGBMLVXE7MG Check out ALL my videos here https://www.youtube.com/watch?v=fYgd5ZLdHz8&list=PLDnx7w_xuguFTxcfiM11bB1JchtHclEJg Steemit: https://steemit.com/@agadmator/ Facebook: https://www.facebook.com/agadmatoryoutube Twitter: https://twitter.com/agadmator Instagram: https://www.instagram.com/agadmator/ Lichess: https://lichess.org/@/agadmator Chess.com: agadmator League of Legends: agadmator (EUNE, my friend is using my EUWE account for a couple of years now) Blizzard: agadmator #2992 Check out my Hearthstone channel here https://www.youtube.com/channel/UCDKefsd8PMI0FXHwPi5yscg Check out the SUBSCRIBERS VIDEO https://www.youtube.com/watch?v=p-xa0SkpIiA Send your photos and videos here: subscribers.videos.agadmator@gmail.com Send your own games here: subscribers.games.agadmator@gmail.comA -Gaming- SD card?? - $H!T Manufacturers Say
🛈⏬Massdrop Creative Labs Sound Blasterx Siege Mouse over 50% off MSRP until Oct. 5th: https://dro.ps/linus-blasterx Check out the Thermaltake Level 20 series cases on Amazon at http://geni.us/RKaBH4V Has gaming marketing gone too far? We explore just what justifies a gaming label on this MicroSD card by HyperX. Buy 64GB HyperX Gaming uSD card on Amazon http://geni.us/lngI Buy 128GB HyperX Gaming uSD card on Amazon http://geni.us/FfAkCw Buy 256GB HyperX Gaming uSD card on Amazon http://geni.us/ArdaOV Discuss on the forum: **LINK TO DISCUSSION THREAD** Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our Test Benches on Amazon: https://www.amazon.com/shop/linustechtips Our production gear: http://geni.us/cvOS Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/HYBRID ANIMALS CREATIONS! Mixing all the animals! (Let's Play Hybrid Animals Gameplay)
🛈⏬Subscribe! http://bit.ly/1ohtuJy What are your favorite Hybrid Animals Creations in the hybrid animals creature lab this episode? Let me know if you would like to see more hybrid animals creations! Hybrid Animals Download: http://store.steampowered.com/app/448240/ Music: Valesco - All I Need, Cloud 9, Stay With MeWhy Football Failed (in some places)
🛈⏬Support this channel: http://www.patreon.com/brain4breakfast Discuss this episode: https://redd.it/916141 --- Click here to subscribe to Two Star Players ► https://bit.ly/2NCniJJ --- Two Star Players are: DickRhino ► https://twitch.tv/dickrhino obtuse_angel ► https://twitch.tv/obtuse_angel --- On social media: Facebook ► https://www.facebook.com/TwoStarPlayers reddit ► https://www.reddit.com/r/TwoStarPlayers/ --- Script by brain4breakfast Art by brain4breakfast and TwoStarPlayers Narration by brain4breakfast and TwoStarPlayers --- Music: Intro/Outro: William Tell Overture, by Rossini Ireland: Garryowen India: An unnamed Hindu Aarti chant(?) USA: Yankee Doodle; The National Emblem March; The Star-Spangled Banner (Herald Trumpets) Canada: O Canada USSR/China: The International; March of the Volunteers Australia: Advance Australia FairStirling Engines - the power of the future?
🛈⏬Stirling engines are having a bit of a revival. What are they, and how do they work? Could they generate our electricity in the future? Support me on Patreon: https://www.patreon.com/Lindybeige More ranty videos here:https://www.youtube.com/playlist?list=PL92609E6F61F4E5A4 I like machines that show their workings. You can see all the parts of a stirling engine doing their jobs. Stirling engines are simple, but use a principle that may be unfamiliar to many viewers. One thing that you have to remember from your science classes is that gases expand and contract very rapidly indeed, making this sort of engine practical. Stirling engines are not very powerful nor do they have great power to weight ratios. I know of one annual boat race that takes place in England on a river using stirling engines, and it is somewhat sedate. Lindybeige: a channel of archaeology, ancient and medieval warfare, rants, swing dance, travelogues, evolution, and whatever else occurs to me to make. You can now buy the music I use over the end-plates of my videos, which was written as the theme music for The Adventures of Stoke Mandeville, Astronaut and Gentleman: https://lindybeige.bandcamp.com/releases ▼ Follow me... Twitter: https://twitter.com/Lindybeige I may have some drivel to contribute to the Twittersphere, plus you get notice of uploads. Facebook:https://www.facebook.com/Lindybeige (it's a 'page' and now seems to be working). Google+: google.com/+lindybeige website: www.LloydianAspects.co.uk http://www.youtube.com/user/ Lindybeige Phase-functioned neural networks for character control (SIGGRAPH 2017 Presentation)
🛈⏬Phase-functioned neural networks for character control SIGGRAPH 2017 Presentation Jun Saito Taku Komura Daniel Holden We present a real-time character control mechanism using a novel neural network architecture called a Phase-Functioned Neural Network. In this network structure, the weights are computed via a cyclic function which uses the phase as an input. Along with the phase, our system takes as input user controls, the previous state of the character, the geometry of the scene, and automatically produces high quality motions that achieve the desired user control. The entire network is trained in an end-to-end fashion on a large dataset composed of locomotion such as walking, running, jumping, and climbing movements fitted into virtual environments. Our system can therefore automatically produce motions where the character adapts to different geometric environments such as walking and running over rough terrain, climbing over large rocks, jumping over obstacles, and crouching under low ceilings. Our network architecture produces higher quality results than time-series autoregressive models such as LSTMs as it deals explicitly with the latent variable of motion relating to the phase. Once trained, our system is also extremely fast and compact, requiring only milliseconds of execution time and a few megabytes of memory, even when trained on gigabytes of motion data. Our work is most appropriate for controlling characters in interactive scenes such as computer games and virtual reality systems.Evolving a Human! - Evolution Simulator
🛈⏬Welcome to Evolution! Evolution is a free to play evolution game where you use a neural network to program a skeleton using muscles, bones, and joints! - - - - - Evolution Simulator Gameplay Overview: Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of a neural network and a genetic algorithm can enable your creatures to learn and improve at their given tasks all on their own. The tasks include running, jumping and climbing. Can you build the ultimate creature that is good at all of the tasks? - - - - - Play Evolution Simulator free: https://keiwan.itch.io/evolution - - - - - Q. What is a supported video? A. Due to FTC rules, all videos where I have received a free download, merchandise, or any travel arrangements is supported by the developers. Q. What is a sponsored video? A. Due to FTC rules, all videos where I have received financial incentives to produce a video need to be disclosed. I will (and have been) disclosing these as sponsored. - - - - - Want more Blitz? Check these links out: Subscribe: http://bit.ly/Sub2Blitz Twitter: https://twitter.com/Blitzkriegsler Twitch: https://www.twitch.tv/blitz Merch: https://www.teepublic.com/user/ytblitzTellurium - THE MOST INSIDIOUS ELEMENT ON EARTH!
🛈⏬Best Patrons: Stan Presolski, reinforcedconcrete, Dean Bailey, Bob Drucker, Pradeep Sekar, Applied Science, Purple Pill, afreeflyingsoul. Thank you guys! Patreon: https://www.patreon.com/Thoisoi?ty=h Facebook: https://www.facebook.com/thoisoi2 Instagram: https://www.instagram.com/thoisoi/ Do not repeat the experiments shown in this video! In this video I would like to tell you about the most treacherous element that will make anyone who dares to hold it just for a few seconds in his hands, regret his decision. In the periodic table of chemical elements tellurium is right below selenium, in group 16, and in contrast to the elements preceding it, tellurium belongs to semimetals. Tellurium is very scarce in Earth’s crust and its rarity is compared to that of platinum. Tellurium is so rare because during the first stages of Earth formation, its compounds reacted with water forming volatile hydrogen telluride, which has easily vanished into the open space throughout Earth’s existence. Today this same metal is obtained when copper electroplating produces by-products in the form of tellurides of precious metals, which later on are reduced to mettalic tellurium. After refining, pieces of this metal look very similar to pieces of any other metal, although holding this metal in the hands for just a few seconds is enough to make sure it is tellurium. Smallest bits of tellurium can bind with oil on our fingers and get inside the organism through skin pores. This is not necessarily deadly but it’s very unpleasant to those around you because inside the organism, tellurium metabolizes into dimethyl telluride.New advanced Real time Physics Engine for character animation similar to Euphoria
🛈⏬New advanced Real time Physics Engine for character animation similar to Euphoria Surce Ubisoft Torronto: https://www.youtube.com/watch?v=F0FVCrSXA1U SImilar videos: https://www.youtube.com/watch?v=QjGc2XBIEgQ https://www.youtube.com/watch?v=doFidFAsbqc&t=1sThe Raven Paradox (An Issue with the Scientific Method)
🛈⏬Green apples and ravens... ♥ SOURCES AND LINKS • http://platonicrealms.com/encyclopedia/Hempels-Ravens-Paradox • https://explorable.com/raven-paradox • https://en.wikipedia.org/wiki/Raven_paradox ♥ PREVIOUS VIDEO https://goo.gl/LyG1oj ♥ SUGGESTED VIDEO https://goo.gl/LyG1oj ♥ AWESOME VIDEO https://goo.gl/qlJ6VX ♥ RECOMMENDED CHANNEL https://goo.gl/XtFiKu ♥ SOCIAL MEDIA • Instagram: https://goo.gl/bMTfPJ • Twitter: https://goo.gl/qQ60M4 • Google+: https://goo.gl/9cc5VG • Facebook: https://goo.gl/RDOifA • Tumblr: https://goo.gl/rPtSQ9 ♥ DONATE • Patreon: https://www.patreon.com/tritoxhd ♥ MUSIC • ZES - Alternate • Goblins From Mars and F R A N C I S - Breathing ♥ PETER (Script, Visuals, Voice) • AKA Tritox. Look above for links ^_^ ♥ ZES (Background Music) • https://soundcloud.com/zes-3 • https://www.facebook.com/Zesmusic ♥ GOBLINS FROM MARS (Outro Music) • https://www.facebook.com/goblinsfrommars • https://plus.google.com/+GoblinsFromMars • https://twitter.com/boris_and_mike • https://soundcloud.com/goblinsfrommars • https://www.instagram.com/goblins_from_mars/ ♥ F R A N C I S (Outro Music) • https://soundcloud.com/f-r-a-n-c-i-s-817614035 • https://www.facebook.com/F-R-A-N-C-i-S-227028124326636/ • http://francismetatron.tumblr.com/ ♥ HEADS UP • These videos may cause people with photosensitive epilepsy to convulse in seizures. Viewer discretion is advised. • No copyright infringement in any way is intended. If there is an issue with the visuals/sound/music please contact me so I can handle the problem ASAP. ♥ THANKS FOR READING THIS FAR! • Gets a bit lonely and cold all the way down here.Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors (SIGGRAPH)
🛈⏬This is the video of our SIGGRAPH 2017 paper: Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors (Authors: Mengyu Chu, Nils Thuerey) More info: http://www.ntoken.com/pubs.html#Chu_2017_cnnpatch Abstract: We present a novel deep learning algorithm to synthesize high resolution flow simulations with reusable repositories of space-time flow data. In our work, we employ a descriptor learning approach to encode the similarity between fluid regions with differences in resolution and numerical viscosity. We use convolutional neural networks to generate the descriptors from fluid data such as smoke density and flow velocity. At the same time, we present a deformation limiting patch advection method which allows us to robustly track deformable fluid regions. With the help of this patch advection, we generate stable space-time data sets from detailed fluids for our repositories. We can then use our learned descriptors to quickly localize a suitable data set when running a new simulation. This makes our approach very efficient, and resolution independent. We will demonstrate with several examples that our method yields volumes with very high effective resolutions, and non-dissipative small scale details that naturally integrate into the motions of the underlying flow.The Graceful Tree Problem - Numberphile
🛈⏬This video features Gordon Hamilton. More links & stuff in full description below ↓↓↓ Gord's mathpickle website: http://mathpickle.com The Dollar Game: https://youtu.be/U33dsEcKgeQ More videos with Gordon: http://bit.ly/Gord_Playlist Discuss this video on Brady's subreddit: https://redd.it/ai9t11 Numberphile is supported by the Mathematical Sciences Research Institute (MSRI): http://bit.ly/MSRINumberphile We are also supported by Science Sandbox, a Simons Foundation initiative dedicated to engaging everyone with the process of science. https://www.simonsfoundation.org/outreach/science-sandbox/ And support from Math For America - https://www.mathforamerica.org/ NUMBERPHILE Website: http://www.numberphile.com/ Numberphile on Facebook: http://www.facebook.com/numberphile Numberphile tweets: https://twitter.com/numberphile Subscribe: http://bit.ly/Numberphile_Sub Videos by Brady Haran Animation by Pete McPartlan Patreon: http://www.patreon.com/numberphile Numberphile T-Shirts: https://teespring.com/stores/numberphile Brady's videos subreddit: http://www.reddit.com/r/BradyHaran/ Brady's latest videos across all channels: http://www.bradyharanblog.com/ Sign up for (occasional) emails: http://eepurl.com/YdjL9AI learns to play snake using Genetic Algorithm and Deep learning
🛈⏬Using a neural network and the genetic algorithm I trained an AI to play snake. Time Passing By by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/Feynman's Lost Lecture (ft. 3Blue1Brown)
🛈⏬Check out Grant’s channel: 3blue1brown: https://www.youtube.com/3blue1brown This video recounts a lecture by Richard Feynman giving an elementary demonstration of why planets orbit in ellipses. See the excellent book by Judith and David Goodstein, Feynman's lost lecture”, for the full story behind this lecture, and a deeper dive into its content. Tweet referenced at the start: https://twitter.com/3blue1brown/status/1016936129117937664 Music by Nathaniel Schroeder: https://soundcloud.com/drschroeder/elizabeth-the-mouse Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/one-two-zeta Support MinutePhysics on Patreon! http://www.patreon.com/minutephysics Link to Patreon Supporters: http://www.minutephysics.com/supporters/ MinutePhysics is on twitter - @minutephysics And facebook - http://facebook.com/minutephysics And Google+ (does anyone use this any more?) - http://bit.ly/qzEwc6 Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a minute! Created by Henry ReichAgar.io - a fascinating bot
🛈⏬An agar.io bot at its best. It usually does not work that well. If you are interested in downloading the Bot: https://github.com/Apostolique/Agar.io-bot This was recorded live at http://www.twitch.tv/brunnernathan Here are some lazzy tags: agar.io, agario, bot, hack, gameplayWhy Beauty Is A Scam...
🛈⏬Claim Your 2 Months of Skillshare For $0.99 http://skl.sh/thoughty9 JOIN The PRIVATE Thoughty2 Club & Get Exclusive Perks! http://bit.ly/t2club SUBSCRIBE - New Video Every Two Weeks http://bit.ly/thoughty2 BECOME A PATRON and support Thoughty2: https://www.patreon.com/thoughty2 Thoughty2 Merchandise: https://shop.thoughty2.com/ Thoughty2 Facebook: http://bit.ly/thoughtyfb Thoughty2 Instagram: http://bit.ly/t2instaThe 7 Steps of Machine Learning (AI Adventures)
🛈⏬How can we tell if a drink is beer or wine? Machine learning, of course! In this episode of Cloud AI Adventures, Yufeng walks through the 7 steps involved in applied machine learning. The 7 Steps of Machine Learning article: https://goo.gl/XEo6i2 Watch more episodes of AI Adventures here: https://goo.gl/UC5usG TensorFlow Playground: http://playground.tensorflow.org Machine Learning Workflow: https://goo.gl/SwLnSz Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y Want more machine learning? Subscribe to the channel: https://goo.gl/S0AS51🖥️ Making A Game in 48 Hours!
🛈⏬PATREON: https://www.patreon.com/Jabrils SUBSCRIBE FOR MORE SEFD SCIENCE: http://sefdstuff.com/science Table Of Contents ----- 0:00 - Intro 0:23 - What is a 48 Hour Game Jam? 1:05 - Day 1 2:08 - Game Jam Theme 2:49 - My Game Idea 2:25 - Team Game idea 5:14 - Our Team 5:55 - Day 2 6:13 - My feature broke 7:05 - Disaster Hit 7:49 - Day 3 8:21 - Our Completed Game 8:51 - Game Jam Showcase 9:44 - Conclusion 10:05 - End Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb Mentions ----- Super Haystack Challenge - https://gamejolt.com/games/super-haystack-challenge/217553 Creeper World - https://knucklecracker.com/creeperworld/playcwts.php Tower Rescue (Our GGJ Game) - https://gamejolt.com/games/towerrescue/318476 Tower Rescue Open Source - turns out max Github file is 100MB this project got to 1GB, it may not get uploaded REMEMBER TO ALWAYS FEED YOUR CURIOSITY #GameDev #IndieGame #Unity3DNeural Network that Changes Everything - Computerphile
🛈⏬Years of work down the drain, the convolutional neural network is a step change in image classification accuracy. Image Analyst Dr Mike Pound explains what it does. Kernel Convolutions: https://youtu.be/C_zFhWdM4ic Deep Learning: https://youtu.be/l42lr8AlrHk Botnets: https://youtu.be/UVFmC178_Vs AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0 Space Carving: https://youtu.be/cGs90KF4oTc http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.comHARD Geometry Puzzle In The Simpsons
🛈⏬The Simpson's 26th season finale Mathlete's Feat is full of mathematical problems. The final problem is a challenging geometric problem. Can you figure it out? You can skip to 4:58 for the solution. Kudos to the writers of The Simpsons, who have a long history of bringing math into the TV show. I enjoyed learning about this background in Simon Singh's book The Simpsons and Their Mathematical Secrets http://amzn.to/1vWDGKx If you're curious how to prove pi is irrational, Ivan Niven wrote a proof that involves calculus that many high school students should be able to understand. Here is my write-up with some additional explanatory details: http://mindyourdecisions.com/blog/2013/11/08/proving-pi-is-irrational-a-step-by-step-guide-to-a-simple-proof/#.VVqNhPlVhBc Here's another example of math equations showing up in a Simpsons episode: https://www.youtube.com/watch?v=_rwqs5Ol8g0 If you like my videos, you can support me at Patreon: https://www.patreon.com/mindyourdecisions Connect on social media. I update each site when I have a new video or blog post, so you can follow me on whichever method is most convenient for you. My Blog: https://mindyourdecisions.com/blog/ Twitter: https://twitter.com/preshtalwalkar Facebook: https://www.facebook.com/pages/Mind-Your-Decisions/168446714965 Google+: https://plus.google.com/108336608566588374147/posts Pinterest: https://www.pinterest.com/preshtalwalkar/ Tumblr: https://preshtalwalkar.tumblr.com/ Instagram: https://instagram.com/preshtalwalkar/ Patreon: https://www.patreon.com/mindyourdecisions Newsletter (sent about 2 times a year): http://eepurl.com/KvS0r If you buy from the links below I may receive a commission for sales. This has no effect on the price for you. My Books The Joy of Game Theory shows how you can use math to out-think your competition. (rated 3.8/5 stars on 31 reviews) http://amzn.to/1uQvA20 The Irrationality Illusion: How To Make Smart Decisions And Overcome Bias is a handbook that explains the many ways we are biased about decision-making and offers techniques to make smart decisions. (rated 5/5 stars on 2 reviews) http://amzn.to/1o3FaAg Math Puzzles Volume 1 features classic brain teasers and riddles with complete solutions for problems in counting, geometry, probability, and game theory. Volume 1 is rated 4.4/5 stars on 13 reviews. http://amzn.to/1GhUUSH Math Puzzles Volume 2 is a sequel book with more great problems. (rated 5/5 stars on 3 reviews) http://amzn.to/1NKbyCs Math Puzzles Volume 3 is the third in the series. (rated 3.8/5 stars on 4 reviews) http://amzn.to/1NKbGlp 40 Paradoxes in Logic, Probability, and Game Theory contains thought-provoking and counter-intuitive results. (rated 4.3/5 stars on 12 reviews) http://amzn.to/1LOCI4U The Best Mental Math Tricks teaches how you can look like a math genius by solving problems in your head (rated 4.7/5 stars on 4 reviews) http://amzn.to/18maAdo Multiply Numbers By Drawing Lines This book is a reference guide for my video that has over 1 million views on a geometric method to multiply numbers. (rated 5/5 stars on 3 reviews) http://amzn.to/XRm7M4Snakes, Neural Networks and Genetic Algorithms
🛈⏬So I made a program that trains snake AIs with a genetic algorithm (neuroevolution). Code can be found here: https://github.com/emgoz/Neural-network-snake Coding Rainbow: Genetic algorthms: https://www.youtube.com/watch?v=9zfeTw-uFCw Computerphile: Neural Networks: https://www.youtube.com/watch?v=py5byOOHZM8 Sorry for the offset video, somehow my screen capture software messed it up. I wrote the whole thing in Java. Don't get angry, I know it's not the best in performance.(SIGGRAPH 2017) Multi-species simulation of porous sand and water mixtures
🛈⏬Here is our SIGGRAPH 2017 paper on the Material Point Method for wet sand. Andre Pradhana Tampubolon, Theodore Gast, Gergely Klár, Chuyuan Fu, Joseph Teran, Chenfanfu Jiang, and Ken Museth. 2017. Multi-species simulation of porous sand and water mixtures. ACM Trans. Graph. 36, 4, Article 105 (July 2017), 11 pages.Zeeman Effect - Control light with magnetic fields
🛈⏬I demo the Zeeman effect with a sodium flame and 1 tesla electromagnet! Inspiration on xoFunkox's channel: https://www.youtube.com/watch?v=iyBjPiRlxzg Follow-up video: https://www.youtube.com/watch?v=JV4Fk3VNZqs Zeeman effect Wikipedia: https://en.wikipedia.org/wiki/Zeeman_effect 18W low-pressure sodium lamp on Amazon: https://www.amazon.com/Philips-234047-18-watt-SOX-E18-Pressure/dp/B004NIRVXO Microwave oven transformer. The price has been going up on these. I seem to remember paying just $10 or $20 each. Finding junked microwave ovens is fairly easy too. https://www.ebay.com/itm/Microwave-Oven-High-Voltage-Transformer-GAL-700U-1-w15/273263153173?hash=item3f9fc0d015:g:JXUAAOSwC~1bFzPk Magnetic field meter: https://www.amazon.com/gp/product/B074KVK7WD/ref=oh_aui_detailpage_o02_s00?ie=UTF8&psc=1 50A power supply (DC stick welder, not this exact model, but very similar) https://www.northerntool.com/shop/tools/product_200680691_200680691?cm_mmc=Google-pla&utm_source=Google_PLA&utm_medium=Welding%20%3E%20Arc%20%2B%20Stick%20Welding&utm_campaign=Klutch&utm_content=55728&cm_mmc=Google-pla&utm_source=google_PLA&utm_campaign=&mkwid=sVlyaIJ6C&pcrid=39155627516&devicetype=c&gclid=CjwKCAjwgr3ZBRAAEiwAGVssnap1_WInlowjEuN5nqZ78ooT_yMVbyM3wCFCSW6Cvs5ySiXZucsw1BoCtnQQAvD_BwE Faraday effect on Applied Science: https://www.youtube.com/watch?v=XhU-nNiAgtI&t=46s Applied Science on Patreon: https://www.patreon.com/AppliedScienceComputer Generates Human Faces
🛈⏬5:51 To skip to the results. Standalone App: https://github.com/HackerPoet/FaceEditor/raw/master/FaceEditor.zip Source Code: https://github.com/HackerPoet/FaceEditor This is another fun project I came up with using the same data set as my other video. This time, I experiment with unsupervised learning to see what the computer can learn about faces, and try to generate some new ones.AI learns to play Asteroids
🛈⏬Using neuroevolution I trained an AI to play the game Asteroids and it nailed it. If you enjoy what I do and want more please consider supporting me on patreon https://www.patreon.com/CodeBullet Check out the source code https://github.com/Code-Bullet/AsteroidsAI music from flying tunes https://www.youtube.com/channel/UCdnkfU-V49Xpj_vNyP2BYlg songs used https://www.youtube.com/watch?v=KSN9LkWc5ks&index=21&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF https://www.youtube.com/watch?v=gd6GIz8ZILQ&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF&index=16 https://www.youtube.com/watch?v=8ZVdItaXCnY&list=PLNXt4mGJMAQrC7Q8Lnh1BhGOKcwW1gRtF&index=28When you want to play with your friend, but you have no games in common (ft. CallmeKevin)
🛈⏬It's time to revisit the classics from 1986, because literally no other games were available Thanks again to Kevin for joining me for this stream! https://www.youtube.com/channel/UCdoPCztTOW7BJUPk2h5ttXA ~Twitch Channel: http://www.twitch.tv/rtgamecrowd ~Merch Shop: https://eu.rtgame.net/ ~Twitter: https://twitter.com/RTGameCrowd ~Discord: https://discord.gg/rtgameA Neural Network Model That Can Reason - Prof. Christopher Manning
🛈⏬Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Computer Science and Linguistics at Stanford University. Recorded May 3rd, 2018 at ICLR2018Deep Learning Cars
🛈⏬A small 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms. Interested in how Neural Networks work? Have a look at my one-minute-explanation: https://www.youtube.com/watch?v=rEDzUT3ymw4 This simulation was implemented in Unity. You can find detailed information about how this simulation works, as well as a link to the entire source code on my website: https://arztsamuel.github.io/en/projects/unity/deepCars/deepCars.html Don't miss any future videos, by subscribing to my channel. Follow me on Twitter: https://twitter.com/SamuelArztAI learns to play the WORLDS HARDEST GAME even more levels
🛈⏬Using the genetic algorithm I trained an Ai to play even more levels of the worlds hardest game. check out previous videos https://www.youtube.com/watch?v=kVwkLb8zxq0&t=353s https://www.youtube.com/watch?v=Yo2SepcNyw4&t=3s I will upload the code soon so you can run these things yourself. Twitter: https://twitter.com/code_bullet Patreon: https://www.patreon.com/CodeBullet Discord: https://discord.gg/UZDMYx5Can Lobsters Really Not Die of Old Age?
🛈⏬→Subscribe for new videos every day! https://www.youtube.com/user/TodayIFoundOut?sub_confirmation=1 →How Dick came to be short for 'Richard': https://youtu.be/BH1NAwwKtcg?list=PLR0XuDegDqP2Acy6g9Ta7hzC0Rr3RDS6q Never run out of things to say at the water cooler with TodayIFoundOut! Brand new videos 7 days a week! More from TodayIFoundOut Why a Bakers Dozen is 13 Instead of 12 https://youtu.be/UPDV0POS5d0?list=PLR0XuDegDqP3XRa-w_G0dy_aMMXj0Uq-k Why Vampires Can't Exist... and 9 Other Amazing Facts https://youtu.be/cDlat4Pdd4U?list=PLR0XuDegDqP1IHZBUZvKkPwkTr6Gr0OBO In this video: You’ll often hear it claimed that lobsters are biologically immortal. So is it true? Not really, though this is partially an argument in semantics as you’ll soon see. (And while we’re on the topic of lobster myths, no: Lobsters do not mate for life. In fact, the male lobster pretty much gets it on with every female lobster that comes a knockin’. And they do almost literally line up and knock on the male’s door.) Want the text version?: http://www.todayifoundout.com/index.php/2016/02/can-lobsters-really-not-die-old-age/ Sources: http://biomedgerontology.oxfordjournals.org/content/62/2/149.long http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1691385/ http://www.ncbi.nlm.nih.gov/pubmed/3600044 https://www.youtube.com/watch?v=C6hn3sA0ip0 http://learn.genetics.utah.edu/content/chromosomes/telomeres/ http://maine-lobster.com/lobster-facts http://animals.nationalgeographic.com/animals/invertebrates/lobster/ http://time.com/3184569/11-lobster-facts-that-will-leave-you-shell-shocked/ http://www.csmonitor.com/Science/2011/0616/How-large-can-lobsters-grow-Big!-But-no-one-knows-how-big http://www.telegraph.co.uk/news/worldnews/northamerica/usa/4213315/George-the-140-year-old-lobster-to-be-released-by-New-York-restaurant.html http://theweek.com/articles/460049/could-lobsters-help-live-forever http://www.dailymail.co.uk/sciencetech/article-2418252/Do-lobsters-hold-key-eternal-life-Forget-gastronomic-indulgence-crustacean-defy-ageing-process.html http://www.smithsonianmag.com/science-nature/dont-listen-to-the-buzz-lobsters-arent-actually-immortal-88450872/?no-ist https://en.wikipedia.org/wiki/Biological_immortality#Attempts_to_engineer_biological_immortality_in_humans https://en.wikipedia.org/wiki/Lobster#Longevity http://www.telegraph.co.uk/news/uknews/10294152/Lobsters-may-hold-the-key-to-eternal-life.html http://www.npr.org/templates/transcript/transcript.php?storyId=11382976 http://memory.ucsf.edu/ftd/overview/biology/genetics/multiple http://neurodojo.blogspot.com/2013/05/all-lobsters-are-mortal.html https://en.wikipedia.org/wiki/Telomere https://en.wikipedia.org/wiki/Senescence https://en.wikipedia.org/wiki/Biological_immortality https://en.wikipedia.org/wiki/Hayflick_limit https://en.wikipedia.org/wiki/Leach's_storm_petrel http://www.medscape.com/viewarticle/722306_1 https://en.wikipedia.org/wiki/RNAHow Machines Learn
🛈⏬How do all the algorithms around us learn to do their jobs? **OMG PLUSHIE BOTS!!**: https://standard.tv/collections/cgp-grey/products/cgp-grey-sorterbot-5000-plush Bot Wallpapers on Patreon: https://www.patreon.com/posts/15959388 Footnote: https://www.youtube.com/watch?v=wvWpdrfoEv0 Podcasts: https://www.youtube.com/user/HelloInternetPodcast https://www.youtube.com/channel/UCqoy014xOu7ICwgLWHd9BzQ Thank you to my supporters on Patreon: James Bissonette, James Gill, Cas Eliëns, Jeremy Banks, Thomas J Miller Jr MD, Jaclyn Cauley, David F Watson, Jay Edwards, Tianyu Ge, Michael Cao, Caron Hideg, Andrea Di Biagio, Andrey Chursin, Christopher Anthony, Richard Comish, Stephen W. Carson, JoJo Chehebar, Mark Govea, John Buchan, Donal Botkin, Bob Kunz https://www.patreon.com/cgpgrey How neural networks really work with the real linear algebra: https://www.youtube.com/watch?v=aircAruvnKk Music by: http://www.davidreesmusic.com10 More Cool Deep Learning Applications | Two Minute Papers #52
🛈⏬In this episode, we present another round of incredible deep learning applications! _________________________ 1. Colorization - http://tinyclouds.org/colorize/ 2. RNN Music on Bob Sturm's YouTube channel - https://www.youtube.com/watch?v=RaO4HpM07hE 3. Flow Machines by Sony - https://www.youtube.com/watch?v=buXqNqBFd6E 4. RNN Passwords - https://github.com/gehaxelt/RNN-Passwords 5. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding - http://arxiv.org/abs/1510.00149 6. Right Whale Kaggle Competition - http://felixlaumon.github.io/2015/01/08/kaggle-right-whale.html 7. Improving YouTube video thumbnails - http://youtube-eng.blogspot.hu/2015/10/improving-youtube-video-thumbnails-with_8.html 8. Celebrity super-resolution: https://github.com/mikesj-public/dcgan-autoencoder 9. Convolutional Neural Network visualization - http://scs.ryerson.ca/~aharley/vis/conv/ + Paper: http://scs.ryerson.ca/~aharley/vis/harley_vis_isvc15.pdf 10. DarkNet RNN writes in the style of George RR Martin - http://pjreddie.com/darknet/rnns-in-darknet/ Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz WE'D LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. The thumbnail image background was created by Dan Ruscoe (CC BY 2.0) - https://flic.kr/p/deHtEb Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/Google's DeepMind AI Just Taught Itself To Walk
🛈⏬Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy. Read more: http://www.businessinsider.com/sai FACEBOOK: https://www.facebook.com/techinsider TWITTER: https://twitter.com/techinsider INSTAGRAM: https://www.instagram.com/businessinsider/ TUMBLR: http://businessinsider.tumblr.com/Making a 2D Game in Unity in 2 Days! | Preparing for Global Game Jam
🛈⏬Check us out at the Global Game Jam! https://ole.unity.com/UnityAtGGJ With the Global Game Jam (GGJ) coming up, our evangelists Ciro and Alice from Brighton made a 2D narrative game using Unity, in 2 days! 2D Extras Repository: https://on.unity.com/2W4HicM Alice's blog posts on new Unity 2D tools: https://on.unity.com/2W7M75h Assets used for this game: DOTween Pro: http://bit.ly/DOTweenPro Free Assets list: https://ole.unity.com/free-assets Join us on Connect! https://ole.unity.com/unityconnect Play Ciro's and Alice's game: http://bit.ly/TorrheimItchioAI learns to play pool
🛈⏬Using the genetic algorithm I train an AI to play pool. Source code is up https://github.com/Code-Bullet/Pool_AI🖥️ FINISHING MY FIRST MACHINE LEARNING GAME! (3/4)
🛈⏬This is it! We finally put Forrest to the test to see if he can become the any course running master, can his Neural Network brain do it??? PATREON: https://www.patreon.com/Jabrils I am sorry about the audio error, read pinned comment for full story, here is an alternate version: https://www.youtube.com/watch?v=Y80vJxly2Gs If you haven't yet watched part 2 here's the link: https://www.youtube.com/watch?v=ZX2Hyu5WoFg SUBSCRIBE FOR MORE MACHINE LEARNING VIDEOS: http://sefdstuff.com/science Table Of Contents ----- Coming soon Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb REMEMBER TO ALWAYS FEED YOUR CURIOSITY #AI #MachineLearning #gamedevGoogle DeepMind AI Does Parkour - Producing flexible behaviours in simulated environments
🛈⏬Google's AI company DeepMind created an AI that has learned how to walk... or how to parkour without any prior instructions. Emergence of Locomotion Behaviours in Rich Environments. Read the blog post here: https://deepmind.com/blog/producing-flexible-behaviours-simulated-environments/ Research performed by: Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, Ali Eslami, Martin Riedmiller, David Silver Via: https://arxiv.org/abs/1707.02286Machine Learning for Flappy Bird using Neural Network & Genetic Algorithm
🛈⏬Read the complete tutorial about how to implement a machine learning algorithm for the Flappy Bird video game here: http://www.askforgametask.com/tutorial/machine-learning-algorithm-flappy-bird This video shows a creation of an artificial intelligence controller for the Flappy Bird game using neural networks and a genetic algorithm. The program is written in HTML5 using Phaser framework (http://phaser.io/). There is also used Synaptic Neural Network library (https://synaptic.juancazala.com/) to implement entire artificial neural network instead of making a new one from the scratch. Download source code here: https://github.com/ssusnic/Machine-Learning-Flappy-Bird ----------------------------------------------------------------- According to Arthur Samuel, machine learning is the science of getting computers to act without being explicitly programmed. It is a fine tuning process of learning that incrementally improves an initial random system. The form of machine learning implemented in this program uses a genetic algorithm to train artificial neural networks. The birds are learning how to flap optimally in order to fly safely through barriers as long as possible. The main concept is based on these 3 steps: 1. creating the initial population of 10 birds randomly 2. learning as the game is being played 3. applying natural evolution to form the next improved population ----------------------------------------------------------------- To play the game, each bird has its own neural network consisted of the next 3 layers: 1. an input layer with 2 neurons representing what a bird sees: - horizontal distance to the closest gap - height difference to the closest gap 2. a hidden layer with 6 neurons 3. an output layer with 1 neuron to perform flap if its value is greater than 0.5 ----------------------------------------------------------------- To measure the quality of birds and select the best ones, for each bird is calculated its fitness function in this way: - reward a bird by its total traveled distance - penalize a bird by its current distance to the closest gap When the entire population is dead, the fittest four birds are selected to breed a new population by using genetic algorithm operators: selection, crossover and mutation. ----------------------------------------------------------------- Visit us: http://www.askforgametask.com Like us: https://www.facebook.com/askforgametask Follow us: https://twitter.com/ssusnic Music: Bedtime Tune by Jay Man http://www.ourmusicbox.comThe Brain: A neural network built entirely in Quartz Composer
🛈⏬Here's a demo of a new thing I made in my spare time called the Brain. It's an easy to use neural network built entirely in Quartz Composer. You teach it things and it can learn how to solve pretty complicated problems on its own. In this example, I teach the Brain to understand the meaning of different drawings I do and turn them into Emoji. ---- A lot of people have asked me if I could send them this Quartz Composer file so they could learn more about how this was built. I initially wasn't planning on releasing it because there are some parts that are pretty messy and it requires a few obscure Quartz Composer plug-ins to better handle things like data structures. But I'm sure some people will find it useful and interesting so here it is. Download the Quartz Composer file: http://bit.ly/2kpHILsEvolution of Neural Networks using Genetic Algorithm for a 3D car made in Unity
🛈⏬Just a simple implementation of neural net for evolution of a car to finish the track. The neural network itself doesn't evolve in shape, but in the neuron connection weights. Made in Unity Music: Righteous by Silent PartnerBuild an AI Writer - Machine Learning for Hackers #8
🛈⏬This video will get you up and running with your first AI Writer able to write a short story based on an image that you input. The code for this video is here: https://github.com/llSourcell/AI_Writer I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Great write-up on recurrent neural nets (LSTMs and GRUs) http://deeplearning4j.org/lstm.html Paper on skip thought vectors: http://arxiv.org/pdf/1506.06726v1 Paper on Unifying Visual Semantic Embeddings: https://arxiv.org/pdf/1411.2539v1.pdf You can test this code out at this site! It's really cool, they have a bunch of deep learning models in the cloud, you just have to upload an input and it gives you an output: http://www.somatic.io/models/2n6g7RZQ If you're interested in NLP, check out Michael Collins course. This guy is such a G (it's free and open source!): https://www.coursera.org/course/nlangp And check out this guy's free deep learning course on Udacity: https://www.udacity.com/course/deep-learning--ud730 I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5wMarI/O - Machine Learning for Video Games
🛈⏬MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: http://pastebin.com/ZZmSNaHX NEAT Paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Some relevant Wikipedia links: https://en.wikipedia.org/wiki/Neuroevolution https://en.wikipedia.org/wiki/Evolutionary_algorithm https://en.wikipedia.org/wiki/Artificial_neural_network BizHawk Emulator: http://tasvideos.org/BizHawk.html SethBling Twitter: http://twitter.com/sethbling SethBling Twitch: http://twitch.tv/sethbling SethBling Facebook: http://facebook.com/sethbling SethBling Website: http://sethbling.com SethBling Shirts: http://sethbling.spreadshirt.com Suggest Ideas: http://reddit.com/r/SethBlingSuggestions Music at the end is Cipher by Kevin MacLeodNeural Network 3D Simulation
🛈⏬Artificial Neural Networks 3D simulationEVOLUTION [V6] - Learn to Walk (genetic algorithm & Neural Network)
🛈⏬Sticky Creatures learn to walk Evolution perforemed by Genetic Algorithm Brain with Neural Network [from V6 there are muscles (angle constrains)] executable: Donwload: NEW Link: https://miorsoft.github.io/Site/LEARN_2Dsticks_SimpleNN.zip Support: https://www.patreon.com/miorsoft Web: https://miorsoft.github.io/Site/index.html Music by Shunga JungDigital Creatures Learn To Walk | Two Minute Papers #8
🛈⏬In this episode, we are going to talk about computer animation, animating bipeds in particular. If we have the geometry of a creature, we need to specify the bones, the muscle routings and the muscle activations to make them able to walk. Depending on the body proportions and types, it may require quite a bit of trial and error to build muscle layouts so the creature doesn't collapse. Making them walk is even more difficult! This piece of work not only makes it happen for a variety of bipedal creatures, but the results are robust for a variety of target walking speeds, uneven terrain and other, unpleasant difficulties. _________________________________ The paper Flexible Muscle-Based Locomotion for Bipedal Creatures is available here: http://www.goatstream.com/research/papers/SA2013/ Disclaimer: I was not part of this research project, I am merely providing commentary on this work. Music: Daisy Dukes by Silent Partner Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Web → https://cg.tuwien.ac.at/~zsolnai/ Twitter → https://twitter.com/karoly_zsolnaiNeural Network Demo
🛈⏬Github: https://github.com/matthew-ch-robbins/Neural-Network About: The simulation is based on a neural network to guide the car around the track and a genetic algorithm used to pick and breed the most successful cars of each generation. For the people interested in how it works: The car uses its 5 feelers to calculate a normalised intersection depth with the track's edges and then feeds these 5 values as inputs to the neural network. The inputs are then passed through a hidden layer of 8 neurons and finally to an output layer of 2 neurons: a left and right steering force. These forces are used to drive the car forward and turn the car. Each car represents a different genome in a generation (or a unique set weights for the neural net) which are evaluated and potentially carried through to the next generation by a fitness score. The fitness score is based on the distance travelled along the track as well as bonus points for hitting checkpoints (this encourages the network to navigate around tricky sections of the track). In the video, the neural network / genetic algorithm finds a solution at about 2.25. FRAPs interfered a little by clamping the framerate, so it took a bit longer than usual for it to find a solution. Legend: The green dots are the intersection points of the feelers. The blue lines are the feelers The orange highlighted track geometry are sections being considered for collision. The blue circle is the radius used to search for track nearby track geometry.Evolution of Face Generation | Evolution of GANs
🛈⏬Generating Fake faces in photos and videos has become prevalent in last few years (cough) Deep Fakes (cough). It's come to a point where we can't tell if photos and videos contain real people. It's fascinating (and scary?) ! But how did we get here? What is the technology behind these eerily real faces? The main Technology behind this phenomenon are Generative Adversarial Networks . Let's talk about them. REFERENCES [1] The OG GAN : https://arxiv.org/abs/1406.2661 [2] Deep Convolutional GAN (DCGAN): https://arxiv.org/abs/1511.06434 [3] Coupled GANs: https://arxiv.org/abs/1606.07536 [4] Progressively growing GAN: https://arxiv.org/abs/1710.10196 [5] Style-Transfer GAN: https://arxiv.org/abs/1812.04948 [6] DeepFakes - Real Consequences (ColdFusion): https://www.youtube.com/watch?v=dMF2i3A9Lzw [7] First paper on Neural Networks: http://www.cse.chalmers.se/~coquand/AUTOMATA/mcp.pdf [8] How fast processing power increased over the years: https://www.eetimes.com/author.asp?section_id=36&doc_id=1330462 [9] Deep Learning Vs Classical Machine Learning [10] Neural Networks in Security Systems: https://ieeexplore.ieee.org/document/8268746 [11] State of the Art Neural Networks for Image Captioning: https://cs.stanford.edu/people/karpathy/sfmltalk.pdf [12] Applications of Neural Networks: https://arxiv.org/pdf/1803.01164.pdf [13] Build a Music & Text Generator: https://towardsdatascience.com/deep-learning-with-tensorflow-part-3-music-and-text-generation-8a3fbfdc5e9b [14] CycleGANs: https://arxiv.org/pdf/1703.10593.pdf

Phase-Functioned Neural Networks for Character Control

We present a real-time character control mechanism using a novel neural network architecture called a Phase-Functioned Neural Network. In this network structure, the weights are computed via a cyclic function which uses the phase as an input. Along with the phase, our system takes as input user controls, the previous state of the character, the geometry of the scene, and automatically produces high quality motions that achieve the desired user control. The entire network is trained in an end-to-end fashion on a large dataset composed of locomotion such as walking, running, jumping, and climbing movements fitted into virtual environments. Our system can therefore automatically produce motions where the character adapts to different geometric environments such as walking and running over rough terrain, climbing over large rocks, jumping over obstacles, and crouching under low ceilings. Our network architecture produces higher quality results than time-series autoregressive models such as LSTMs as it deals explicitly with the latent variable of motion relating to the phase. Once trained, our system is also extremely fast and compact, requiring only milliseconds of execution time and a few megabytes of memory, even when trained on gigabytes of motion data. Our work is most appropriate for controlling characters in interactive scenes such as computer games and virtual reality systems.